Modelling human preference in evolutionary art


Creative activities including arts are characteristic to humankind. Our understanding of creativity is limited, yet there is substantial research trying to mimic human creativity in artificial systems and in particular to produce systems that automatically evolve art appreciated by humans. We propose here to model human visual preference by a set of aesthetic measures identified through observation of human selection of images and then use these for automatic evolution of aesthetic images.

Publication DOI:
Divisions: ?? 50811700Jl ??
Aston University (General)
Additional Information: The original publication is available at
Event Title: EvoApplications 2011
Event Type: Other
Event Dates: 2011-04-27 - 2011-04-29
ISBN: 978-3-642-20519-4, 978-3-642-20520-0
Last Modified: 05 Feb 2024 08:01
Date Deposited: 19 Apr 2012 09:57
Full Text Link: http://www.spri ... 10mn93w/?MUD=MP
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Other chapter contribution
Published Date: 2011-04-01
Authors: Ekárt, Anikó (ORCID Profile 0000-0001-6967-5397)
Chalakov, Stayko
Sharma, Divya



Version: Accepted Version

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